The Management of Human Factors in Civil Aviation. A case in Central Europe: the management experience of a private regional airline in Romania.

To generate a model which can provides detailed data analysis supportive in aviation incident analysis, a human factor analysis model based on Bayesian network theory is established. This model is a Bayesian network which uses three layers nodes to represent causality between human factors and incidents. The specific impact degree of human factors on aviation incidents is represented by conditional probability parameters of the model. The model structure, constructed by combing hill-climbing search method with CH score function, coincides with the actual data. This model is useful in aviation incident analyses and deductions.

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Business case for civil aviation human factors

PsycEXTRA Dataset ◽

10.1037/e577552012-005 ◽

2006 ◽

Author(s):

Paul Krois ◽

Ulf Ahlstrom ◽

Judith Burki-Cohen ◽

Florian Jentsch ◽

Barbara Kanki ◽

...

Keyword(s):

Human Factors ◽

Business Case ◽

Civil Aviation

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Civil Aviation Accident Human Factors Analysis Model

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.955-959.1825 ◽

2014 ◽

Vol 955-959 ◽

pp. 1825-1828 ◽

Cited By ~ 1

Author(s):

Xiong Liu ◽

Lin Lin Wang

Keyword(s):

Human Factors ◽

Shell Model ◽

Civil Aviation ◽

Analysis Model ◽

Advantages And Disadvantages ◽

Factors Analysis ◽

Systematic Structure ◽

Analysis Models ◽

Human Factors Analysis

Civil aviation accident Human Factors analysis models were investigated in the article, mainly on the famous SHELL model and Reason model. Both the advantages and disadvantages of the models were fully discussed. After then, a new civil aviation accident Human Factors analysis model named O-SHELL was designed, which is the development of the SHELL model and Reason model. The O-SHELL model has the same systematic structure as the SHELL model, and also emphasizes the organizer’s responsibilities like the Reason model. With the advantages of the two successful models and with out their disadvantages, the O-SHELL model makes the civil aviation accident Human Factors analysis become more systematic and clearly.

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From Latent Failure to Active Failure: The Investigation of Human Errors in Aviation Operation

Proceedings of the Human Factors and Ergonomics Society Annual Meeting ◽

10.1177/154193120705102011 ◽

2007 ◽

Vol 51 (20) ◽

pp. 1425-1429

Author(s):

Wen-Chin Li ◽

Don Harris

Keyword(s):

Human Factors ◽

Human Error ◽

Analytical Framework ◽

Civil Aviation ◽

Human Errors ◽

Aviation Accidents ◽

Republic Of China ◽

Long Time ◽

The Republic ◽

Supervisory Practices

The Human Factors Analysis and Classification System (HFACS, Wiegmann & Shappell, 2003) was developed as an analytical framework for the investigation of the role of human factors in aviation accidents. HFACS is based upon Reason's model (1990) of human error in which active failures are associated with the performance of front -line operators in complex systems and latent failures are characterized as inadequacies which lie dormant within a system for a long time, and are only trigge red when combined with other factors to breach the system's defenses. In this research HFACS was used to analyze accidents occurring in civil aviation aircraft in the Republic of China (ROC). Forty-one accident reports from the Aviation Safety Council (A SC) were analyzed. Relationships in the HFACS framework were identified linking fallible decisions at higher (organizational) levels with supervisory practices, thereby creating the preconditions for unsafe acts and hence indirectly impairing the performance of pilots.

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